TypeScript Deployment Tools

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Browse free open source TypeScript Deployment Tools and projects below. Use the toggles on the left to filter open source TypeScript Deployment Tools by OS, license, language, programming language, and project status.

  • Gen AI apps are built with MongoDB Atlas Icon
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  • 1
    Monokle

    Monokle

    Better create, understand, and deploy YAML manifests

    Monokle's integrated open-source tools and cloud platform make it easy to define, manage, and enforce Kubernetes YAML configuration policies in minutes. Deploy, manage and audit policies for your teams across the entire configuration lifecycle from a centralized Dashboard. Define polices using 100+ pre-existing rules for Security, Resource Usage, and Compliance. Create your own Validation Extensions 
for your organization's compliance
 and conventions. Assess policy enforcement impact by validation reporting and insights. Instant detection of YAML misconfigurations with context for quick fixes without ever leaving your existing IDE. GitHub integration identifies misconfigurations in your Pull Requests with immedate actions to analyze and fix in Web IDE. One tool suite that works for individual Developers, DevOps practitioners, SREs, Platform Engineers, and Team Leaders.
    Downloads: 16 This Week
    Last Update:
    See Project
  • 2
    Render Farm Deployment Kit on AWS (RFDK)

    Render Farm Deployment Kit on AWS (RFDK)

    Library for use with the AWS Cloud Development Kit

    The Render Farm Deployment Kit on AWS (RFDK) is an open-source software development kit (SDK) that can be used to deploy, configure, and manage your render farm infrastructure in the cloud. It offers high-level object-oriented abstractions to define render farm infrastructure using the power of Python and Typescript. The Render Farm Deployment Kit (RFDK) on AWS is an open-source software development kit that can be used to deploy, configure, and manage your render farm infrastructure in the cloud. The RFDK is built to operate with the AWS Cloud Development Kit (CDK) and provides a library of classes, called constructs, that each deploy and configure a component of your cloud-based render farm. The current version of the RFDK supports render farms built using AWS Thinkbox Deadline render management software, and provides the ability for you to easily go from nothing to a production-ready render farm in the cloud.
    Downloads: 6 This Week
    Last Update:
    See Project
  • 3
    dyrector.io

    dyrector.io

    dyrector.io is a self-hosted continuous delivery & deployment platform

    dyrector.io is a self-hosted continuous delivery & deployment platform with version management. dyrector.io helps engineers & DevOps teams and individual developers to shift their focus from maintaining and setting up their containerized applications to developing their software. The platform achieves this by offering continuous delivery and version management capabilities to your OCI containers. Replace multiple tools with a single platform that allows you to manage your entire infrastructure and the containerized applications that run on it. You're also able to initiate deployments to multiple environments simultaneously instead of repeated, manual processes. QA no longer needs help to test your services. Enable them to autonomously configure and deploy various versions of microservices to test environments. They have the flexibility to run arbitrary workloads on any accessible nodes, potentially transforming their local machines or any remote infrastructures into testing platforms.
    Downloads: 2 This Week
    Last Update:
    See Project
  • 4
    Dockge

    Dockge

    A fancy, easy-to-use and reactive self-hosted docker compose.yaml

    Dockge is a self-hosted, stack-oriented manager for Docker Compose files designed to simplify container management with a modern web interface. Instead of treating each container individually, it focuses on stacks defined by docker-compose.yaml files, allowing users to create, edit, start, stop, restart, and delete entire stacks through a UI rather than via CLI only. The tool preserves the stack files on disk (rather than hiding them inside a database), so users retain full flexibility to inspect and manage via normal Docker commands. It also supports multiple agents across different Docker hosts, enabling one unified UI to control stacks on multiple servers. The interface is reactive and real-time: progress bars show pulling, starting, and updating operations, and a built-in web terminal allows direct interaction.
    Downloads: 0 This Week
    Last Update:
    See Project
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